Machine Learning Applied to Composite Materials
4 contributors - Hardback
£159.99
Dr. Vinod Kushvaha earned his Dual Degree (B. Tech. + M. Tech.) from the Indian Institute of Technology Bombay (IIT Bombay) in Civil Engineering. Following that, he earned his second masters and a Ph.D. degree in Mechanical Engineering at Auburn University, USA. His diversified research background led him to publish in various engineering journals and in several international conferences. Dr. Kushvaha also actively reviews for Composite Science and Technology, Composites Part A, Composites Part B: Engineering, Materials Science and Engineering A, and Composite Structures journals, to name a few. Presently, Dr. Kushvaha is an Assistant Professor at the Indian Institute of Technology Jammu (IIT Jammu) in the Civil Engineering department, leading research in Materials and Structural Engineering.
Dr. Sanjay Mavinkere Rangappa, is currently working as a Senior Research Scientist/Associate Professor and also 'Advisor within the office of the President for University Promotion and Development towards International goals' at King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand. He is a Life Member of Indian Society for Technical Education (ISTE) and an Associate Member of Institute of Engineers (India). Also acting as a Board Member of various international journals in the fields of materials science and composites. He is a reviewer for more than 120 international Journals, also a reviewer for book proposals, and international conferences. In addition, he has published more than 200 articles in high-quality international peer-reviewed journals indexed by SCI/Scopus, 11 editorial corners, 60 book chapters, one book, 25 books as an Editor (Published by lead publishers such as Elsevier, Springer, Taylor & Francis, Wiley), and also presented research papers at national/international conferences. He is a lead editor of Several special issues. In addition, 1 Thailand Patent and 2 Indian patents are granted. He has delivered keynote and invited talks at various international conferences and workshops. He has received a ‘Top Peer Reviewer 2019’ award, Global Peer Review Awards, Powered by Publons, Web of Science Group. The KMUTNB selected him for the ‘Outstanding Young Researcher’ Award 2020 and ‘Outstanding Researcher’ Award 2021. He is recognized by Stanford University’s list of the world’s Top 2% of the Most-Cited Scientists in Single Year Citation Impact 2019 and also for the year 2020.
Dr. Priyanka Madhushri is the Internet of Things (IoT) Ideation Research Engineer at Stanley Black and Decker (SBD), Atlanta. Dr. Madhushri earned her Ph.D. in Electrical Engineering from the University of Alabama in Huntsville, USA. She works with the innovation team and brings new ideas to various projects. As a researcher, she provides Proof of Concept (POC) to various SBD teams and assists in developing the company’s software, hardware, and data analytics. Her research interests include predictive analyses using Machine Learning, material modeling, Internet of Things (IoT), mobile computing, etc. She has published in various engineering fields, including materials journals, where her work focused on utilizing machine learning algorithms to predict and explain the mechanical behavior of advanced engineering materials.